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A facile method to determine pore size distribution in porous scaffold by using image processing.
G Lo Re1, F Lopresti2, G Petrucci3
1University of Palermo, Dipartimento di Ingegneria Civile, Ambientale, Aerospaziale, dei Materiali, Viale delle Scienze Ed. 6, 90128 Palermo, Italy; Laboratory of Polymeric and Composite Materials (LPCM), Center of Innovation and Research in Materials and Polymers (CIRMAP), UMONS - Université de Mons, Place du Parc, 23, B-7000 Mons, Belgium.
This study introduces image processing software for semi-automatic pore size distribution (PSD) analysis in porous scaffolds. The method accurately characterizes PLA scaffolds, offering an alternative to invasive porosimetry techniques.
Area of Science:
- Materials Science
- Biomedical Engineering
- Image Analysis
Background:
- Porous scaffolds are crucial for tissue engineering, requiring detailed characterization.
- Understanding pore size distribution (PSD) is vital for predicting scaffold performance in tissue regeneration.
- Traditional methods like SEM lack quantitative PSD data.
Purpose of the Study:
- To develop and validate a semi-automatic image processing software for measuring PSD.
- To analyze the pore characteristics of porous scaffolds, specifically polylactic acid (PLA) scaffolds.
- To offer a non-invasive alternative to traditional porosimetry techniques.
Main Methods:
- Development of a semi-automatic image processing software for image segmentation.
- Application of the software to analyze pore geometry and measure PSD.
- Utilizing grayscale image representations of 3D porous structures.
- Case study involving PLA porous scaffolds with varying pore sizes.
Main Results:
- The developed software effectively segments pores of diverse geometries.
- Accurate PSD measurements were obtained for PLA scaffolds.
- Image processing methods demonstrated a strong correlation with scaffold pore features.
- The technique proved superior to invasive porosimetry in characterizing PLA scaffolds.
Conclusions:
- Semi-automatic image processing is a powerful tool for quantitative analysis of porous scaffold morphology.
- The developed software provides reliable PSD data, essential for scaffold design and application in tissue engineering.
- This approach overcomes limitations of traditional methods, enabling deeper insights into scaffold-tissue interactions.
